---------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/loradiblasi/Dropbox/ISQ R&R/Submit/FirstLook/Replication/ReplicationLog.log
  log type:  text
 opened on:   7 Jul 2020, 20:50:19

. use "/Users/loradiblasi/Dropbox/ISQ R&R/Submit/FirstLook/Replication/ReplicationData.dta"

. do "/var/folders/q9/f8bhjx0s1psfz3cdd3h68zdc0000gn/T//SD01464.000000"

. ***Use ReplicationData.dta***
. 
. *******Main Models*******
. 
. ***Model 1***
. 
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac, cluster (ccode)

Iteration 0:   log pseudolikelihood = -434.62683  
Iteration 1:   log pseudolikelihood = -422.09958  
Iteration 2:   log pseudolikelihood = -345.72513  
Iteration 3:   log pseudolikelihood = -342.77018  
Iteration 4:   log pseudolikelihood = -342.74262  
Iteration 5:   log pseudolikelihood = -342.74261  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(17)   =     290.16
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -342.74261                 Pseudo R2       =     0.2114

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4874085   .1617064     3.01   0.003     .1704698    .8043472
         lagailevels |    .537163   .2092477     2.57   0.010     .1270451     .947281
       lagjcrHighAut |   .1999701   .3135239     0.64   0.524    -.4145254    .8144657
       lagjcrWeakDem |    .671785   .3135019     2.14   0.032     .0573326    1.286237
       lagjcrHighDem |   .0163663   .5953404     0.03   0.978    -1.150479    1.183212
lagjcrdemaidgdptrans |   .1386478   .0634551     2.18   0.029     .0142781    .2630174
 lagjcrdistancetrans |    .132756   .1673065     0.79   0.427    -.1951587    .4606708
lagjcrautaidgdptrans |   -.084608   .0518636    -1.63   0.103    -.1862589    .0170428
   lagjcrany_strikes |  -.5481626   .2715464    -2.02   0.044    -1.080384   -.0159413
     lagjcrany_riots |   .6012483   .3080039     1.95   0.051    -.0024282    1.204925
     lagjcrany_demos |   .4669782   .3227875     1.45   0.148    -.1656737     1.09963
 lagjcrany_guerrilla |   .3882101   .2836659     1.37   0.171    -.1677649    .9441852
 lagjcrcivilviolence |   .7985878   .3088873     2.59   0.010     .1931797    1.403996
      lagjcrcivilwar |   .0869022   .4573854     0.19   0.849    -.8095567    .9833611
       lagjcrln_rgdp |  -.4714011   .1928871    -2.44   0.015    -.8494529   -.0933493
        lagjcrln_pop |   .1090146   .1111868     0.98   0.327    -.1089076    .3269368
       lagjcrethfrac |   .6239487   .4834902     1.29   0.197    -.3236748    1.571572
               _cons |  -4.505903   2.029323    -2.22   0.026    -8.483303   -.5285023
--------------------------------------------------------------------------------------

. 
. 
. 
. ***Model 2***
. 
. logit binaryType2Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac, cluster (ccode)

Iteration 0:   log pseudolikelihood = -253.15286  
Iteration 1:   log pseudolikelihood = -221.56208  
Iteration 2:   log pseudolikelihood = -214.14513  
Iteration 3:   log pseudolikelihood = -213.99615  
Iteration 4:   log pseudolikelihood = -213.99564  
Iteration 5:   log pseudolikelihood = -213.99564  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(17)   =     141.14
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -213.99564                 Pseudo R2       =     0.1547

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType2Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4525296   .2231345     2.03   0.043      .015194    .8898652
         lagailevels |   .2359159    .264356     0.89   0.372    -.2822124    .7540441
       lagjcrHighAut |   .2872725   .3710235     0.77   0.439    -.4399201    1.014465
       lagjcrWeakDem |   .2202657   .3437966     0.64   0.522    -.4535633    .8940946
       lagjcrHighDem |   .0796907   .8621311     0.09   0.926    -1.610055    1.769437
lagjcrdemaidgdptrans |   .0278228   .0596281     0.47   0.641    -.0890461    .1446918
 lagjcrdistancetrans |   .1216646   .2389944     0.51   0.611    -.3467559    .5900851
lagjcrautaidgdptrans |   .0322363   .0364781     0.88   0.377    -.0392595    .1037321
   lagjcrany_strikes |    -.32225   .4393455    -0.73   0.463    -1.183351    .5388514
     lagjcrany_riots |   .8130754   .3484123     2.33   0.020     .1301998    1.495951
     lagjcrany_demos |  -.1595696   .3323931    -0.48   0.631    -.8110481    .4919088
 lagjcrany_guerrilla |   .3086564   .3352362     0.92   0.357    -.3483945    .9657074
 lagjcrcivilviolence |   .7550229   .4155277     1.82   0.069    -.0593963    1.569442
      lagjcrcivilwar |   .1709275   .4435336     0.39   0.700    -.6983825    1.040237
       lagjcrln_rgdp |   .0417207   .2453794     0.17   0.865    -.4392141    .5226555
        lagjcrln_pop |   .3085595   .1262577     2.44   0.015     .0610989    .5560201
       lagjcrethfrac |   1.542297   .6393568     2.41   0.016     .2891811    2.795414
               _cons |  -9.908213   2.765847    -3.58   0.000    -15.32917   -4.487252
--------------------------------------------------------------------------------------

. 
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. 
. 
. 
. 
. 
. 
. 
end of do-file

. do "/var/folders/q9/f8bhjx0s1psfz3cdd3h68zdc0000gn/T//SD01464.000000"

. *******Main Tables*******
. 
. ***Table I***
. sum binaryType1Create, detail

                      binaryType1Create
-------------------------------------------------------------
      Percentiles      Smallest
 1%            0              0
 5%            0              0
10%            0              0       Obs                5350
25%            0              0       Sum of Wgt.        5350

50%            0                      Mean           .0708411
                        Largest       Std. Dev.      .2565832
75%            0              1
90%            0              1       Variance        .065835
95%            1              1       Skewness       3.345495
99%            1              1       Kurtosis       12.19234

. tab binaryType1Create

binaryType1 |
     Create |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      4,971       92.92       92.92
          1 |        379        7.08      100.00
------------+-----------------------------------
      Total |      5,350      100.00

. sum binaryType2Create, detail

                      binaryType2Create
-------------------------------------------------------------
      Percentiles      Smallest
 1%            0              0
 5%            0              0
10%            0              0       Obs                5350
25%            0              0       Sum of Wgt.        5350

50%            0                      Mean           .0605607
                        Largest       Std. Dev.      .2385451
75%            0              1
90%            0              1       Variance       .0569038
95%            1              1       Skewness       3.684672
99%            1              1       Kurtosis       14.57681

. tab binaryType2Create

binaryType2 |
     Create |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      5,026       93.94       93.94
          1 |        324        6.06      100.00
------------+-----------------------------------
      Total |      5,350      100.00

. sum ailevels, detail

                          ailevels
-------------------------------------------------------------
      Percentiles      Smallest
 1%            0              0
 5%            0              0
10%            0              0       Obs                6482
25%            1              0       Sum of Wgt.        6482

50%            2                      Mean           1.538106
                        Largest       Std. Dev.      .7495396
75%            2              2
90%            2              2       Variance       .5618096
95%            2              2       Skewness      -1.245853
99%            2              2       Kurtosis        2.91725

. tab ailevels

   ailevels |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,015       15.66       15.66
          1 |        964       14.87       30.53
          2 |      4,503       69.47      100.00
------------+-----------------------------------
      Total |      6,482      100.00

. sum unchrlevels, detail

                         unchrlevels
-------------------------------------------------------------
      Percentiles      Smallest
 1%            0              0
 5%            0              0
10%            0              0       Obs                6482
25%            0              0       Sum of Wgt.        6482

50%            0                      Mean           .1136995
                        Largest       Std. Dev.      .4170423
75%            0              2
90%            0              2       Variance       .1739243
95%            1              2       Skewness       3.754845
99%            2              2       Kurtosis       16.14023

. tab unchrlevels

unchrlevels |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      5,982       92.29       92.29
          1 |        263        4.06       96.34
          2 |        237        3.66      100.00
------------+-----------------------------------
      Total |      6,482      100.00

. 
. 
. ***Table II***
. 
. ***Model 1***
. 
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac, cluster (ccode)

Iteration 0:   log pseudolikelihood = -434.62683  
Iteration 1:   log pseudolikelihood = -422.09958  
Iteration 2:   log pseudolikelihood = -345.72513  
Iteration 3:   log pseudolikelihood = -342.77018  
Iteration 4:   log pseudolikelihood = -342.74262  
Iteration 5:   log pseudolikelihood = -342.74261  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(17)   =     290.16
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -342.74261                 Pseudo R2       =     0.2114

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4874085   .1617064     3.01   0.003     .1704698    .8043472
         lagailevels |    .537163   .2092477     2.57   0.010     .1270451     .947281
       lagjcrHighAut |   .1999701   .3135239     0.64   0.524    -.4145254    .8144657
       lagjcrWeakDem |    .671785   .3135019     2.14   0.032     .0573326    1.286237
       lagjcrHighDem |   .0163663   .5953404     0.03   0.978    -1.150479    1.183212
lagjcrdemaidgdptrans |   .1386478   .0634551     2.18   0.029     .0142781    .2630174
 lagjcrdistancetrans |    .132756   .1673065     0.79   0.427    -.1951587    .4606708
lagjcrautaidgdptrans |   -.084608   .0518636    -1.63   0.103    -.1862589    .0170428
   lagjcrany_strikes |  -.5481626   .2715464    -2.02   0.044    -1.080384   -.0159413
     lagjcrany_riots |   .6012483   .3080039     1.95   0.051    -.0024282    1.204925
     lagjcrany_demos |   .4669782   .3227875     1.45   0.148    -.1656737     1.09963
 lagjcrany_guerrilla |   .3882101   .2836659     1.37   0.171    -.1677649    .9441852
 lagjcrcivilviolence |   .7985878   .3088873     2.59   0.010     .1931797    1.403996
      lagjcrcivilwar |   .0869022   .4573854     0.19   0.849    -.8095567    .9833611
       lagjcrln_rgdp |  -.4714011   .1928871    -2.44   0.015    -.8494529   -.0933493
        lagjcrln_pop |   .1090146   .1111868     0.98   0.327    -.1089076    .3269368
       lagjcrethfrac |   .6239487   .4834902     1.29   0.197    -.3236748    1.571572
               _cons |  -4.505903   2.029323    -2.22   0.026    -8.483303   -.5285023
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2711   -434.6268   -342.7426     18     721.4852    827.7765
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. tab type1Create if e(sample)

  Number of |
type 1 PGMs |
    created |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      2,609       96.24       96.24
          1 |         78        2.88       99.11
          2 |         14        0.52       99.63
          3 |          5        0.18       99.82
          4 |          2        0.07       99.89
          5 |          1        0.04       99.93
          6 |          1        0.04       99.96
         11 |          1        0.04      100.00
------------+-----------------------------------
      Total |      2,711      100.00

. 
. 
. ***Model 2***
. 
. logit binaryType2Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac, cluster (ccode)

Iteration 0:   log pseudolikelihood = -253.15286  
Iteration 1:   log pseudolikelihood = -221.56208  
Iteration 2:   log pseudolikelihood = -214.14513  
Iteration 3:   log pseudolikelihood = -213.99615  
Iteration 4:   log pseudolikelihood = -213.99564  
Iteration 5:   log pseudolikelihood = -213.99564  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(17)   =     141.14
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -213.99564                 Pseudo R2       =     0.1547

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType2Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4525296   .2231345     2.03   0.043      .015194    .8898652
         lagailevels |   .2359159    .264356     0.89   0.372    -.2822124    .7540441
       lagjcrHighAut |   .2872725   .3710235     0.77   0.439    -.4399201    1.014465
       lagjcrWeakDem |   .2202657   .3437966     0.64   0.522    -.4535633    .8940946
       lagjcrHighDem |   .0796907   .8621311     0.09   0.926    -1.610055    1.769437
lagjcrdemaidgdptrans |   .0278228   .0596281     0.47   0.641    -.0890461    .1446918
 lagjcrdistancetrans |   .1216646   .2389944     0.51   0.611    -.3467559    .5900851
lagjcrautaidgdptrans |   .0322363   .0364781     0.88   0.377    -.0392595    .1037321
   lagjcrany_strikes |    -.32225   .4393455    -0.73   0.463    -1.183351    .5388514
     lagjcrany_riots |   .8130754   .3484123     2.33   0.020     .1301998    1.495951
     lagjcrany_demos |  -.1595696   .3323931    -0.48   0.631    -.8110481    .4919088
 lagjcrany_guerrilla |   .3086564   .3352362     0.92   0.357    -.3483945    .9657074
 lagjcrcivilviolence |   .7550229   .4155277     1.82   0.069    -.0593963    1.569442
      lagjcrcivilwar |   .1709275   .4435336     0.39   0.700    -.6983825    1.040237
       lagjcrln_rgdp |   .0417207   .2453794     0.17   0.865    -.4392141    .5226555
        lagjcrln_pop |   .3085595   .1262577     2.44   0.015     .0610989    .5560201
       lagjcrethfrac |   1.542297   .6393568     2.41   0.016     .2891811    2.795414
               _cons |  -9.908213   2.765847    -3.58   0.000    -15.32917   -4.487252
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2711   -253.1529   -213.9956     18     463.9913    570.2826
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. tab type2Create if e(sample)

  Number of |
type 2 PGMs |
    created |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      2,660       98.12       98.12
          1 |         45        1.66       99.78
          2 |          4        0.15       99.93
          3 |          2        0.07      100.00
------------+-----------------------------------
      Total |      2,711      100.00

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. 
. 
. 
. 
. 
end of do-file

. do "/var/folders/q9/f8bhjx0s1psfz3cdd3h68zdc0000gn/T//SD01464.000000"

. *******Main Figures*******
. 
. ***Figure 1. Number of instances of naming and shaming from Amnesty International***
. 
. **Note: first must transform data set to sum of instances by year using collapse**
. collapse (sum) aiTotal, by(year)

. *change AI 0s to missing since only avaialble 1986-2000*
. drop if year > 2000
(8 observations deleted)

. drop if year < 1986
(8 observations deleted)

. 
. *run graph code*
. #delimit ;
delimiter now ;
. graph twoway 
>    (line aiTotal year,                                  
>    mcolor(black)                                   
>    msize(*1.5)
>    xaxis (1 2)                                     
>    yaxis (1 2)                                     
>    ylabel(, axis(2) nolabel)                       
>    xlabel(, axis(2) nolabel)                       
>    ylabel(#4, axis(1) labsize(small))                       
>    xlabel(#3, axis(1) labsize(small))                       
>    ylabel(#4, axis(2) labsize(small))                       
>    xlabel(#3, axis(2) labsize(small))                       
>    xtitle("", axis(2))                             
>    ytitle("", axis(2))
>    xtitle("Year", axis(1))                             
>    ytitle("Number of instances of shaming", axis(1))
>    ) 
> ;

. 
end of do-file

. clear

. use "/Users/loradiblasi/Dropbox/ISQ R&R/Submit/FirstLook/Replication/ReplicationData.dta"

. do "/var/folders/q9/f8bhjx0s1psfz3cdd3h68zdc0000gn/T//SD01464.000000"

. ***Figure 2. Number of instances of naming and shaming from UNCHR***
. 
. **Note: first must transform data set to sum of instances by year using collapse**
. collapse (sum) dummyunchr, by(year)

. *drop years not included in analysis to be on same scale as AI shaming graphic (figure 1)*
. drop if year > 2000
(8 observations deleted)

. drop if year < 1986
(8 observations deleted)

. 
. *run graph code*
. #delimit ;
delimiter now ;
. graph twoway 
>    (line dummyunchr year,                                  
>    mcolor(black)                                   
>    msize(*1.5)
>    xaxis (1 2)                                     
>    yaxis (1 2)                                     
>    ylabel(, axis(2) nolabel)                       
>    xlabel(, axis(2) nolabel)                       
>    ylabel(#4, axis(1) labsize(small))                       
>    xlabel(#3, axis(1) labsize(small))                       
>    ylabel(#4, axis(2) labsize(small))                       
>    xlabel(#3, axis(2) labsize(small))                       
>    xtitle("", axis(2))                             
>    ytitle("", axis(2))
>    xtitle("Year", axis(1))                             
>    ytitle("Number of instances of shaming", axis(1))
>    ) 
> ;

. 
end of do-file

. clear

. use "/Users/loradiblasi/Dropbox/ISQ R&R/Submit/FirstLook/Replication/ReplicationData.dta"

. do "/var/folders/q9/f8bhjx0s1psfz3cdd3h68zdc0000gn/T//SD01464.000000"

. ***Figure 3: Number of PGMs in existence over time***
. 
. **Note: first must transform data set to sum of instances by year using collapse**
. collapse (sum) type1Exist type2Exist,  by(year)

. 
. *drop extra years*
. drop if year > 2002
(6 observations deleted)

. 
. *Run graph code*
. 
. #delimit ;
delimiter now ;
. graph twoway 
>    (line type2Exist year,
>    scheme(s1color)                                   
>    mcolor(black)                                   
>    msize(*1.5)
>    lpattern(dash)
>    lwidth(medthick)
>    lcolor(black)
>    xaxis (1 2)                                     
>    yaxis (1 2)                                     
>    ylabel(, axis(2) nolabel)                       
>    xlabel(, axis(2) nolabel)
>    xscale(range(1978 (4) 2002))                         
>    ylabel(#4, axis(1) labsize(small))                       
>    xlabel(#3, axis(1) labsize(small))                       
>    ylabel(#4, axis(2) labsize(small))                       
>    xlabel(#3, axis(2) labsize(small))                       
>    xtitle("", axis(2))                             
>    ytitle("", axis(2))
>    xtitle("Year", axis(1))                             
>    ytitle("Number of PGMs in existence", axis(1))    
>    )
>    (line type1Exist year,                                  
>    mcolor(black)                                   
>    msize(*1.5)
>    lpattern(solid)
>    lwidth(medthick)
>    lcolor(black)
>    xaxis (1 2)                                     
>    yaxis (1 2)                                     
>    ylabel(, axis(2) nolabel)                       
>    xlabel(, axis(2) nolabel)
>    xscale(range(1978 (4) 2002))                       
>    ylabel(#4, axis(1) labsize(small))                       
>    xlabel(#3, axis(1) labsize(small))                       
>    ylabel(#4, axis(2) labsize(small))                       
>    xlabel(#3, axis(2) labsize(small))                       
>    xtitle("", axis(2))                             
>    ytitle("", axis(2))
>    xtitle("Year", axis(1))                             
>    ytitle("Number of PGMs in existence", axis(1))
>    ) 
> ;

. 
end of do-file

. clear

. use "/Users/loradiblasi/Dropbox/ISQ R&R/Submit/FirstLook/Replication/ReplicationData.dta"

. do "/var/folders/q9/f8bhjx0s1psfz3cdd3h68zdc0000gn/T//SD01464.000000"

. ***Figure 4. First Differences of UNCHR and AI Shaming***
. 
. **Run Model 1**
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac, cluster (ccode)

Iteration 0:   log pseudolikelihood = -434.62683  
Iteration 1:   log pseudolikelihood = -422.09958  
Iteration 2:   log pseudolikelihood = -345.72513  
Iteration 3:   log pseudolikelihood = -342.77018  
Iteration 4:   log pseudolikelihood = -342.74262  
Iteration 5:   log pseudolikelihood = -342.74261  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(17)   =     290.16
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -342.74261                 Pseudo R2       =     0.2114

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4874085   .1617064     3.01   0.003     .1704698    .8043472
         lagailevels |    .537163   .2092477     2.57   0.010     .1270451     .947281
       lagjcrHighAut |   .1999701   .3135239     0.64   0.524    -.4145254    .8144657
       lagjcrWeakDem |    .671785   .3135019     2.14   0.032     .0573326    1.286237
       lagjcrHighDem |   .0163663   .5953404     0.03   0.978    -1.150479    1.183212
lagjcrdemaidgdptrans |   .1386478   .0634551     2.18   0.029     .0142781    .2630174
 lagjcrdistancetrans |    .132756   .1673065     0.79   0.427    -.1951587    .4606708
lagjcrautaidgdptrans |   -.084608   .0518636    -1.63   0.103    -.1862589    .0170428
   lagjcrany_strikes |  -.5481626   .2715464    -2.02   0.044    -1.080384   -.0159413
     lagjcrany_riots |   .6012483   .3080039     1.95   0.051    -.0024282    1.204925
     lagjcrany_demos |   .4669782   .3227875     1.45   0.148    -.1656737     1.09963
 lagjcrany_guerrilla |   .3882101   .2836659     1.37   0.171    -.1677649    .9441852
 lagjcrcivilviolence |   .7985878   .3088873     2.59   0.010     .1931797    1.403996
      lagjcrcivilwar |   .0869022   .4573854     0.19   0.849    -.8095567    .9833611
       lagjcrln_rgdp |  -.4714011   .1928871    -2.44   0.015    -.8494529   -.0933493
        lagjcrln_pop |   .1090146   .1111868     0.98   0.327    -.1089076    .3269368
       lagjcrethfrac |   .6239487   .4834902     1.29   0.197    -.3236748    1.571572
               _cons |  -4.505903   2.029323    -2.22   0.026    -8.483303   -.5285023
--------------------------------------------------------------------------------------

. 
. **Margins**
. margins, dydx(lagunchrlevels) post level(90)

Average marginal effects                          Number of obs   =       2711
Model VCE    : Robust

Expression   : Pr(binaryType1Create), predict()
dy/dx w.r.t. : lagunchrlevels

--------------------------------------------------------------------------------
               |            Delta-method
               |      dy/dx   Std. Err.      z    P>|z|     [90% Conf. Interval]
---------------+----------------------------------------------------------------
lagunchrlevels |   .0158148   .0055288     2.86   0.004     .0067208    .0249089
--------------------------------------------------------------------------------

. 
. **Store estimate**
. est store lagunchrlevels2

. 
. **Repeat for lagailevels varaible**
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac, cluster (ccode)

Iteration 0:   log pseudolikelihood = -434.62683  
Iteration 1:   log pseudolikelihood = -422.09958  
Iteration 2:   log pseudolikelihood = -345.72513  
Iteration 3:   log pseudolikelihood = -342.77018  
Iteration 4:   log pseudolikelihood = -342.74262  
Iteration 5:   log pseudolikelihood = -342.74261  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(17)   =     290.16
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -342.74261                 Pseudo R2       =     0.2114

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4874085   .1617064     3.01   0.003     .1704698    .8043472
         lagailevels |    .537163   .2092477     2.57   0.010     .1270451     .947281
       lagjcrHighAut |   .1999701   .3135239     0.64   0.524    -.4145254    .8144657
       lagjcrWeakDem |    .671785   .3135019     2.14   0.032     .0573326    1.286237
       lagjcrHighDem |   .0163663   .5953404     0.03   0.978    -1.150479    1.183212
lagjcrdemaidgdptrans |   .1386478   .0634551     2.18   0.029     .0142781    .2630174
 lagjcrdistancetrans |    .132756   .1673065     0.79   0.427    -.1951587    .4606708
lagjcrautaidgdptrans |   -.084608   .0518636    -1.63   0.103    -.1862589    .0170428
   lagjcrany_strikes |  -.5481626   .2715464    -2.02   0.044    -1.080384   -.0159413
     lagjcrany_riots |   .6012483   .3080039     1.95   0.051    -.0024282    1.204925
     lagjcrany_demos |   .4669782   .3227875     1.45   0.148    -.1656737     1.09963
 lagjcrany_guerrilla |   .3882101   .2836659     1.37   0.171    -.1677649    .9441852
 lagjcrcivilviolence |   .7985878   .3088873     2.59   0.010     .1931797    1.403996
      lagjcrcivilwar |   .0869022   .4573854     0.19   0.849    -.8095567    .9833611
       lagjcrln_rgdp |  -.4714011   .1928871    -2.44   0.015    -.8494529   -.0933493
        lagjcrln_pop |   .1090146   .1111868     0.98   0.327    -.1089076    .3269368
       lagjcrethfrac |   .6239487   .4834902     1.29   0.197    -.3236748    1.571572
               _cons |  -4.505903   2.029323    -2.22   0.026    -8.483303   -.5285023
--------------------------------------------------------------------------------------

. 
. **Margins**
. margins, dydx(lagailevels) post level(90)

Average marginal effects                          Number of obs   =       2711
Model VCE    : Robust

Expression   : Pr(binaryType1Create), predict()
dy/dx w.r.t. : lagailevels

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [90% Conf. Interval]
-------------+----------------------------------------------------------------
 lagailevels |   .0174292   .0064217     2.71   0.007     .0068664     .027992
------------------------------------------------------------------------------

. 
. **Store estimate**
. est store lagaievels2

. 
. **Plot**
. coefplot lagunchrlevels2 lagailevels2, xscale(range(-.005 (.005) .03)) xline(0) xlabel(-.005 (.00
> 5) .03)

. 
. 
. 
end of do-file

. do "/var/folders/q9/f8bhjx0s1psfz3cdd3h68zdc0000gn/T//SD01464.000000"

. *******Appendix Models and Tables*******
. 
. ***Section A1: Correlations***
. 
. corr unchr ainr aibr
(obs=2844)

             |    unchr     ainr     aibr
-------------+---------------------------
       unchr |   1.0000
        ainr |   0.1451   1.0000
        aibr |   0.1828   0.3675   1.0000


. 
. corr unchrlevels ailevels
(obs=6482)

             | unchrl~s ailevels
-------------+------------------
 unchrlevels |   1.0000
    ailevels |   0.0540   1.0000


. 
. 
. 
. 
. ***Section A2: Rare Events Logistic Regressions***
. 
. relogit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem la
> gjcrdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lag
> jcrany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop la
> gjcrethfrac, cluster (ccode)
(3206 missing values generated)


Corrected logit estimates                             Number of obs =     2711

--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |    .480384   .1606398     2.99   0.003     .1655358    .7952323
         lagailevels |   .5098928   .2078676     2.45   0.014     .1024798    .9173057
       lagjcrHighAut |   .1960237    .311456     0.63   0.529    -.4144188    .8064662
       lagjcrWeakDem |   .6637841   .3114341     2.13   0.033     .0533846    1.274184
       lagjcrHighDem |   .0309851   .5914137     0.05   0.958    -1.128164    1.190135
lagjcrdemaidgdptrans |    .128405   .0630365     2.04   0.042     .0048556    .2519543
 lagjcrdistancetrans |   .1294006    .166203     0.78   0.436    -.1963513    .4551525
lagjcrautaidgdptrans |  -.0798885   .0515215    -1.55   0.121    -.1808688    .0210919
   lagjcrany_strikes |  -.5130894   .2697554    -1.90   0.057      -1.0418    .0156215
     lagjcrany_riots |   .6002153   .3059723     1.96   0.050     .0005205     1.19991
     lagjcrany_demos |   .4707206   .3206585     1.47   0.142    -.1577585      1.0992
 lagjcrany_guerrilla |   .3797368   .2817949     1.35   0.178    -.1725711    .9320448
 lagjcrcivilviolence |   .7942849     .30685     2.59   0.010       .19287      1.3957
      lagjcrcivilwar |   .0838295   .4543686     0.18   0.854    -.8067165    .9743756
       lagjcrln_rgdp |   -.468438   .1916149    -2.44   0.014    -.8439962   -.0928798
        lagjcrln_pop |   .1118622   .1104535     1.01   0.311    -.1046226    .3283471
       lagjcrethfrac |   .5952104   .4803012     1.24   0.215    -.3461627    1.536584
               _cons |  -4.324973   2.015938    -2.15   0.032    -8.276139   -.3738061
--------------------------------------------------------------------------------------

. 
. relogit binaryType2Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem la
> gjcrdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lag
> jcrany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop la
> gjcrethfrac, cluster (ccode)
(3206 missing values generated)


Corrected logit estimates                             Number of obs =     2711

--------------------------------------------------------------------------------------
                     |               Robust
   binaryType2Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4559804   .2216627     2.06   0.040     .0215294    .8904313
         lagailevels |   .1982477   .2626122     0.75   0.450    -.3164628    .7129583
       lagjcrHighAut |   .2754202   .3685762     0.75   0.455    -.4469759    .9978163
       lagjcrWeakDem |   .2379012   .3415289     0.70   0.486    -.4314832    .9072855
       lagjcrHighDem |   .0675661   .8564444     0.08   0.937    -1.611034    1.746166
lagjcrdemaidgdptrans |   .0230792   .0592348     0.39   0.697    -.0930188    .1391773
 lagjcrdistancetrans |   .1126346    .237418     0.47   0.635    -.3526963    .5779654
lagjcrautaidgdptrans |   .0336954   .0362375     0.93   0.352    -.0373288    .1047196
   lagjcrany_strikes |   -.268893   .4364476    -0.62   0.538    -1.124315    .5865285
     lagjcrany_riots |   .8117011   .3461142     2.35   0.019     .1333298    1.490072
     lagjcrany_demos |  -.1382569   .3302006    -0.42   0.675    -.7854382    .5089244
 lagjcrany_guerrilla |   .3015784    .333025     0.91   0.365    -.3511387    .9542954
 lagjcrcivilviolence |    .754702   .4127869     1.83   0.068    -.0543453    1.563749
      lagjcrcivilwar |   .1661131   .4406081     0.38   0.706     -.697463    1.029689
       lagjcrln_rgdp |   .0307055   .2437609     0.13   0.900    -.4470571    .5084681
        lagjcrln_pop |   .3048228   .1254249     2.43   0.015     .0589946    .5506511
       lagjcrethfrac |   1.448421   .6351395     2.28   0.023       .20357    2.693271
               _cons |  -9.426592   2.747603    -3.43   0.001     -14.8118   -4.041388
--------------------------------------------------------------------------------------

. 
. 
. 
. 
. ***Section A3: Civil War***
. 
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac laguncivilwar lagaicivilwar, cluster (ccode)

Iteration 0:   log pseudolikelihood = -301.51964  
Iteration 1:   log pseudolikelihood = -295.93437  
Iteration 2:   log pseudolikelihood = -229.67481  
Iteration 3:   log pseudolikelihood = -225.92882  
Iteration 4:   log pseudolikelihood = -225.86102  
Iteration 5:   log pseudolikelihood = -225.86087  
Iteration 6:   log pseudolikelihood = -225.86087  

Logistic regression                               Number of obs   =       1781
                                                  Wald chi2(19)   =     277.59
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -225.86087                 Pseudo R2       =     0.2509

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .5639907   .1995864     2.83   0.005     .1728086    .9551728
         lagailevels |   .5563991   .2544666     2.19   0.029     .0576538    1.055145
       lagjcrHighAut |    .144601    .326087     0.44   0.657    -.4945178    .7837197
       lagjcrWeakDem |    .483283   .3350631     1.44   0.149    -.1734285    1.139995
       lagjcrHighDem |  -.0521172   .8047745    -0.06   0.948    -1.629446    1.525212
lagjcrdemaidgdptrans |   .1742313   .0738046     2.36   0.018      .029577    .3188857
 lagjcrdistancetrans |   .2754508   .2218887     1.24   0.214    -.1594431    .7103447
lagjcrautaidgdptrans |  -.0591954   .0438291    -1.35   0.177    -.1450989    .0267081
   lagjcrany_strikes |  -.4994839   .2833683    -1.76   0.078    -1.054876    .0559076
     lagjcrany_riots |    1.10545    .359744     3.07   0.002     .4003651    1.810535
     lagjcrany_demos |   .3852442   .4380595     0.88   0.379    -.4733366    1.243825
 lagjcrany_guerrilla |   .5788867   .3224719     1.80   0.073    -.0531466     1.21092
 lagjcrcivilviolence |   .6013685   .3830935     1.57   0.116    -.1494809    1.352218
      lagjcrcivilwar |    .359294   .4296701     0.84   0.403    -.4828439    1.201432
       lagjcrln_rgdp |  -.4396508   .2137073    -2.06   0.040    -.8585094   -.0207923
        lagjcrln_pop |   .0477069   .1244156     0.38   0.701    -.1961432     .291557
       lagjcrethfrac |   .5517057   .5853283     0.94   0.346    -.5955166    1.698928
       laguncivilwar |  -.2301764   1.014305    -0.23   0.820    -2.218178    1.757826
       lagaicivilwar |  -.5841048   .8116853    -0.72   0.472    -2.174979    1.006769
               _cons |  -5.143005   2.228516    -2.31   0.021    -9.510816   -.7751942
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   1781   -301.5196   -225.8609     20     491.7217    601.4203
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. logit binaryType2Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac laguncivilwar lagaicivilwar, cluster (ccode)

Iteration 0:   log pseudolikelihood = -176.08449  
Iteration 1:   log pseudolikelihood = -147.74842  
Iteration 2:   log pseudolikelihood = -137.98532  
Iteration 3:   log pseudolikelihood = -137.65011  
Iteration 4:   log pseudolikelihood = -137.64974  
Iteration 5:   log pseudolikelihood = -137.64974  

Logistic regression                               Number of obs   =       1781
                                                  Wald chi2(19)   =     172.38
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -137.64974                 Pseudo R2       =     0.2183

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType2Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4557806   .2444358     1.86   0.062    -.0233048     .934866
         lagailevels |   .3616174   .2762715     1.31   0.191    -.1798648    .9030997
       lagjcrHighAut |    .408071    .459669     0.89   0.375    -.4928636    1.309006
       lagjcrWeakDem |   .2946015   .4321469     0.68   0.495    -.5523908    1.141594
       lagjcrHighDem |   2.794594   .9635488     2.90   0.004     .9060732    4.683115
lagjcrdemaidgdptrans |   .0593528   .0578234     1.03   0.305     -.053979    .1726846
 lagjcrdistancetrans |   .8259018   .2615733     3.16   0.002     .3132275    1.338576
lagjcrautaidgdptrans |   .0650053   .0499381     1.30   0.193    -.0328717    .1628823
   lagjcrany_strikes |  -.0384261   .4630534    -0.08   0.934    -.9459941    .8691419
     lagjcrany_riots |   1.079716   .4752631     2.27   0.023      .148217    2.011214
     lagjcrany_demos |  -.2276855   .4203282    -0.54   0.588    -1.051514    .5961427
 lagjcrany_guerrilla |   .4710511   .4788889     0.98   0.325    -.4675539    1.409656
 lagjcrcivilviolence |   .7114847   .5299483     1.34   0.179    -.3271949    1.750164
      lagjcrcivilwar |   .4199441   .4696901     0.89   0.371    -.5006315     1.34052
       lagjcrln_rgdp |   .0155624   .2318939     0.07   0.946    -.4389413    .4700662
        lagjcrln_pop |   .1012878   .1176915     0.86   0.389    -.1293833    .3319589
       lagjcrethfrac |   1.718081   .6576996     2.61   0.009     .4290136    3.007149
       laguncivilwar |   .5933278   .9759469     0.61   0.543    -1.319493    2.506149
       lagaicivilwar |   .9763495     .80152     1.22   0.223    -.5946008      2.5473
               _cons |  -13.61192   2.506101    -5.43   0.000    -18.52379   -8.700057
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   1781   -176.0845   -137.6497     20     315.2995    424.9981
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. 
. 
. 
. ***Section A4: OECD***
. 
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac lagoecd lagaioecd, cluster (ccode)

Iteration 0:   log pseudolikelihood = -434.62683  
Iteration 1:   log pseudolikelihood = -421.92046  
Iteration 2:   log pseudolikelihood =   -345.346  
Iteration 3:   log pseudolikelihood = -342.26223  
Iteration 4:   log pseudolikelihood = -342.19939  
Iteration 5:   log pseudolikelihood = -342.18599  
Iteration 6:   log pseudolikelihood = -342.18302  
Iteration 7:   log pseudolikelihood = -342.18229  
Iteration 8:   log pseudolikelihood = -342.18214  
Iteration 9:   log pseudolikelihood = -342.18211  
Iteration 10:  log pseudolikelihood =  -342.1821  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(19)   =    1168.70
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood =  -342.1821                 Pseudo R2       =     0.2127

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4690371    .165031     2.84   0.004     .1455823    .7924918
         lagailevels |   .5141119   .2083277     2.47   0.014     .1057971    .9224267
       lagjcrHighAut |   .1961912    .313481     0.63   0.531    -.4182204    .8106027
       lagjcrWeakDem |   .6723051   .3139791     2.14   0.032     .0569174    1.287693
       lagjcrHighDem |   .0227116   .5953685     0.04   0.970    -1.144189    1.189612
lagjcrdemaidgdptrans |   .1405555   .0639174     2.20   0.028     .0152797    .2658312
 lagjcrdistancetrans |   .1339221   .1682609     0.80   0.426    -.1958632    .4637075
lagjcrautaidgdptrans |  -.0856708   .0525323    -1.63   0.103    -.1886322    .0172907
   lagjcrany_strikes |  -.5483066   .2724257    -2.01   0.044    -1.082251    -.014362
     lagjcrany_riots |   .5954243   .3069653     1.94   0.052    -.0062167    1.197065
     lagjcrany_demos |   .4637457    .322633     1.44   0.151    -.1686033    1.096095
 lagjcrany_guerrilla |   .3866483   .2816498     1.37   0.170    -.1653751    .9386717
 lagjcrcivilviolence |   .7928715    .307401     2.58   0.010     .1903766    1.395366
      lagjcrcivilwar |   .0922774   .4545353     0.20   0.839    -.7985955    .9831503
       lagjcrln_rgdp |  -.4666732   .1931328    -2.42   0.016    -.8452065   -.0881398
        lagjcrln_pop |   .1095164   .1112881     0.98   0.325    -.1086042     .327637
       lagjcrethfrac |   .6242001   .4864559     1.28   0.199     -.329236    1.577636
             lagoecd |  -12.26897   .6459826   -18.99   0.000    -13.53507   -11.00287
           lagaioecd |   11.90656    .784273    15.18   0.000     10.36942    13.44371
               _cons |  -4.486165   2.015701    -2.23   0.026    -8.436866   -.5354635
--------------------------------------------------------------------------------------
Note: 14 failures and 0 successes completely determined.

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2711   -434.6268   -342.1821     20     724.3642    842.4657
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. logit binaryType2Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac lagoecd lagaioecd, cluster (ccode)

Iteration 0:   log pseudolikelihood = -253.15286  
Iteration 1:   log pseudolikelihood = -221.26839  
Iteration 2:   log pseudolikelihood = -213.57125  
Iteration 3:   log pseudolikelihood = -213.35424  
Iteration 4:   log pseudolikelihood = -213.32603  
Iteration 5:   log pseudolikelihood = -213.32263  
Iteration 6:   log pseudolikelihood = -213.32213  
Iteration 7:   log pseudolikelihood = -213.32205  
Iteration 8:   log pseudolikelihood = -213.32203  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(19)   =    1877.76
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -213.32203                 Pseudo R2       =     0.1573

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType2Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |    .422024   .2268871     1.86   0.063    -.0226665    .8667145
         lagailevels |   .2195076   .2637921     0.83   0.405    -.2975154    .7365306
       lagjcrHighAut |   .2875229    .369824     0.78   0.437    -.4373188    1.012365
       lagjcrWeakDem |   .2235148   .3394791     0.66   0.510    -.4418521    .8888816
       lagjcrHighDem |   .0736597   .8670136     0.08   0.932    -1.625656    1.772975
lagjcrdemaidgdptrans |   .0296292   .0590574     0.50   0.616    -.0861212    .1453796
 lagjcrdistancetrans |     .11638   .2420082     0.48   0.631    -.3579473    .5907072
lagjcrautaidgdptrans |   .0314504   .0363053     0.87   0.386    -.0397068    .1026075
   lagjcrany_strikes |  -.3104913   .4369064    -0.71   0.477    -1.166812    .5458294
     lagjcrany_riots |    .803354    .346652     2.32   0.020     .1239285    1.482779
     lagjcrany_demos |  -.1744149   .3323676    -0.52   0.600    -.8258434    .4770135
 lagjcrany_guerrilla |   .3149558   .3316777     0.95   0.342    -.3351206    .9650322
 lagjcrcivilviolence |    .741365    .409674     1.81   0.070    -.0615814    1.544311
      lagjcrcivilwar |   .1892242   .4446656     0.43   0.670    -.6823042    1.060753
       lagjcrln_rgdp |   .0504597   .2451496     0.21   0.837    -.4300247    .5309442
        lagjcrln_pop |   .3126704   .1266036     2.47   0.014     .0645319    .5608089
       lagjcrethfrac |   1.557977   .6380414     2.44   0.015     .3074388    2.808515
             lagoecd |  -10.57889   .6333117   -16.70   0.000    -11.82016   -9.337622
           lagaioecd |   9.873605   .7697584    12.83   0.000     8.364906     11.3823
               _cons |  -9.907071   2.765198    -3.58   0.000    -15.32676   -4.487382
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2711   -253.1529    -213.322     20     466.6441    584.7455
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. 
. 
. 
. ***Section A5: CIRI***
. 
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac lagciri, cluster (ccode)

Iteration 0:   log pseudolikelihood = -418.51067  
Iteration 1:   log pseudolikelihood = -409.22248  
Iteration 2:   log pseudolikelihood = -328.40065  
Iteration 3:   log pseudolikelihood = -324.45977  
Iteration 4:   log pseudolikelihood = -324.41477  
Iteration 5:   log pseudolikelihood = -324.41474  

Logistic regression                               Number of obs   =       2629
                                                  Wald chi2(18)   =     243.32
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -324.41474                 Pseudo R2       =     0.2248

                                        (Std. Err. adjusted for 143 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .3820944    .169503     2.25   0.024     .0498745    .7143142
         lagailevels |   .5936862   .2336036     2.54   0.011     .1358314    1.051541
       lagjcrHighAut |   .1690223   .3090177     0.55   0.584    -.4366412    .7746858
       lagjcrWeakDem |   .6862739   .3235363     2.12   0.034     .0521545    1.320393
       lagjcrHighDem |   .0978912   .5993421     0.16   0.870    -1.076798     1.27258
lagjcrdemaidgdptrans |   .1319834   .0666483     1.98   0.048     .0013551    .2626117
 lagjcrdistancetrans |   .1083845   .1734934     0.62   0.532    -.2316563    .4484252
lagjcrautaidgdptrans |   -.068875   .0519974    -1.32   0.185    -.1707881    .0330381
   lagjcrany_strikes |  -.5898914   .2928007    -2.01   0.044     -1.16377   -.0160127
     lagjcrany_riots |   .6308378   .3248955     1.94   0.052    -.0059457    1.267621
     lagjcrany_demos |    .308657   .3196451     0.97   0.334     -.317836    .9351499
 lagjcrany_guerrilla |   .2242431   .3041531     0.74   0.461     -.371886    .8203723
 lagjcrcivilviolence |   .4841368   .3321016     1.46   0.145    -.1667704    1.135044
      lagjcrcivilwar |  -.0642916   .5203092    -0.12   0.902    -1.084079    .9554957
       lagjcrln_rgdp |  -.4739998   .1994722    -2.38   0.017    -.8649582   -.0830415
        lagjcrln_pop |   .0248556   .1171357     0.21   0.832    -.2047261    .2544373
       lagjcrethfrac |   .5407601   .5005848     1.08   0.280    -.4403681    1.521888
             lagciri |  -.2352996   .0678138    -3.47   0.001    -.3682122   -.1023869
               _cons |  -2.388767   2.096194    -1.14   0.254    -6.497232    1.719697
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2629   -418.5107   -324.4147     19     686.8295    798.4423
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. 
. logit binaryType2Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac lagciri, cluster (ccode)

Iteration 0:   log pseudolikelihood = -247.63828  
Iteration 1:   log pseudolikelihood =   -216.332  
Iteration 2:   log pseudolikelihood = -209.07855  
Iteration 3:   log pseudolikelihood = -208.94646  
Iteration 4:   log pseudolikelihood = -208.94602  
Iteration 5:   log pseudolikelihood = -208.94602  

Logistic regression                               Number of obs   =       2629
                                                  Wald chi2(18)   =     122.10
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -208.94602                 Pseudo R2       =     0.1562

                                        (Std. Err. adjusted for 143 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType2Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .5435121   .2224672     2.44   0.015     .1074845    .9795397
         lagailevels |   .1839919   .2680802     0.69   0.493    -.3414356    .7094194
       lagjcrHighAut |   .0699251   .3990309     0.18   0.861    -.7121612    .8520113
       lagjcrWeakDem |   .0895061   .3512145     0.25   0.799    -.5988617    .7778739
       lagjcrHighDem |   .1020048   .9224166     0.11   0.912    -1.705898    1.909908
lagjcrdemaidgdptrans |   .0198924   .0627429     0.32   0.751    -.1030815    .1428663
 lagjcrdistancetrans |   .1698277   .2452207     0.69   0.489     -.310796    .6504514
lagjcrautaidgdptrans |   .0195184   .0411394     0.47   0.635    -.0611133    .1001501
   lagjcrany_strikes |  -.2544998   .4376653    -0.58   0.561    -1.112308    .6033085
     lagjcrany_riots |   .6187265   .3916985     1.58   0.114    -.1489885    1.386442
     lagjcrany_demos |  -.0554732     .36012    -0.15   0.878    -.7612954    .6503491
 lagjcrany_guerrilla |   .3568598   .3578398     1.00   0.319    -.3444933    1.058213
 lagjcrcivilviolence |   .7029911   .4516725     1.56   0.120    -.1822706    1.588253
      lagjcrcivilwar |   .2633998   .4532217     0.58   0.561    -.6248984    1.151698
       lagjcrln_rgdp |   -.050959   .2681286    -0.19   0.849    -.5764815    .4745634
        lagjcrln_pop |   .3347826   .1447989     2.31   0.021      .050982    .6185831
       lagjcrethfrac |   1.443842   .6265487     2.30   0.021     .2158286    2.671854
             lagciri |   .0249991   .1246633     0.20   0.841    -.2193366    .2693348
               _cons |   -9.67086   2.497479    -3.87   0.000    -14.56583   -4.775891
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2629   -247.6383    -208.946     19      455.892    567.5049
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac lPTS_S, cluster (ccode)

Iteration 0:   log pseudolikelihood = -432.02442  
Iteration 1:   log pseudolikelihood = -413.40818  
Iteration 2:   log pseudolikelihood = -341.07166  
Iteration 3:   log pseudolikelihood = -337.82969  
Iteration 4:   log pseudolikelihood = -337.73198  
Iteration 5:   log pseudolikelihood = -337.73163  
Iteration 6:   log pseudolikelihood = -337.73163  

Logistic regression                               Number of obs   =       2644
                                                  Wald chi2(18)   =     281.48
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -337.73163                 Pseudo R2       =     0.2183

                                        (Std. Err. adjusted for 143 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .3599393   .1804844     1.99   0.046     .0061963    .7136823
         lagailevels |   .5304959   .2117414     2.51   0.012     .1154904    .9455013
       lagjcrHighAut |   .3016759   .3159272     0.95   0.340    -.3175299    .9208818
       lagjcrWeakDem |   .7593365   .3362189     2.26   0.024     .1003597    1.418313
       lagjcrHighDem |   .2603686   .5505729     0.47   0.636    -.8187344    1.339472
lagjcrdemaidgdptrans |   .1419921   .0720923     1.97   0.049     .0006938    .2832903
 lagjcrdistancetrans |   .1759857     .15874     1.11   0.268    -.1351389    .4871103
lagjcrautaidgdptrans |  -.0692658   .0511042    -1.36   0.175    -.1694282    .0308967
   lagjcrany_strikes |  -.5603417   .2572139    -2.18   0.029    -1.064472   -.0562116
     lagjcrany_riots |    .631465   .3084563     2.05   0.041     .0269017    1.236028
     lagjcrany_demos |   .4018598   .3227421     1.25   0.213    -.2307031    1.034423
 lagjcrany_guerrilla |   .2324365   .2812795     0.83   0.409    -.3188612    .7837343
 lagjcrcivilviolence |   .5122816   .3489214     1.47   0.142    -.1715919    1.196155
      lagjcrcivilwar |  -.0888575   .4450579    -0.20   0.842     -.961155      .78344
       lagjcrln_rgdp |  -.3894799   .1759202    -2.21   0.027    -.7342772   -.0446825
        lagjcrln_pop |   .0495792    .112343     0.44   0.659    -.1706091    .2697674
       lagjcrethfrac |   .6675554   .4859307     1.37   0.170    -.2848512    1.619962
              lPTS_S |   .4187589   .1739171     2.41   0.016     .0778877    .7596301
               _cons |  -5.974147    1.74443    -3.42   0.001    -9.393167   -2.555127
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2644   -432.0244   -337.7316     19     713.4633    825.1842
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. logit binaryType2Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac lPTS_S, cluster (ccode)

Iteration 0:   log pseudolikelihood = -247.92548  
Iteration 1:   log pseudolikelihood = -216.99617  
Iteration 2:   log pseudolikelihood = -209.52443  
Iteration 3:   log pseudolikelihood = -209.33959  
Iteration 4:   log pseudolikelihood = -209.33912  
Iteration 5:   log pseudolikelihood = -209.33912  

Logistic regression                               Number of obs   =       2644
                                                  Wald chi2(18)   =     131.42
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -209.33912                 Pseudo R2       =     0.1556

                                        (Std. Err. adjusted for 143 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType2Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4480149   .1880231     2.38   0.017     .0794965    .8165333
         lagailevels |    .241525   .2662051     0.91   0.364    -.2802273    .7632773
       lagjcrHighAut |   .3838183   .3717487     1.03   0.302    -.3447958    1.112432
       lagjcrWeakDem |   .2854109   .3247277     0.88   0.379    -.3510437    .9218655
       lagjcrHighDem |   .4413807   .9862082     0.45   0.654    -1.491552    2.374313
lagjcrdemaidgdptrans |   .0359584   .0628745     0.57   0.567    -.0872733    .1591901
 lagjcrdistancetrans |    .179475   .2692027     0.67   0.505    -.3481526    .7071027
lagjcrautaidgdptrans |   .0392515   .0358951     1.09   0.274    -.0311016    .1096046
   lagjcrany_strikes |  -.3414236   .4369241    -0.78   0.435    -1.197779     .514932
     lagjcrany_riots |   .8480623   .3499777     2.42   0.015     .1621186    1.534006
     lagjcrany_demos |  -.1207282   .3304172    -0.37   0.715     -.768334    .5268776
 lagjcrany_guerrilla |   .3052621   .3295502     0.93   0.354    -.3406444    .9511686
 lagjcrcivilviolence |   .5753282   .4779633     1.20   0.229    -.3614627    1.512119
      lagjcrcivilwar |    .161841   .4397394     0.37   0.713    -.7000325    1.023714
       lagjcrln_rgdp |   .0519525   .2508222     0.21   0.836      -.43965     .543555
        lagjcrln_pop |   .2535991   .1210277     2.10   0.036     .0163891    .4908091
       lagjcrethfrac |   1.600466   .6312527     2.54   0.011     .3632339    2.837699
              lPTS_S |   .1214401   .2581074     0.47   0.638    -.3844411    .6273213
               _cons |   -10.2921     3.4321    -3.00   0.003    -17.01889   -3.565308
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2644   -247.9255   -209.3391     19     456.6782    568.3992
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. 
. 
. ***Section A6: UNCHR Membership***
. 
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac if HRCMEMBE == 1, cluster (ccode)

Iteration 0:   log pseudolikelihood = -131.13829  
Iteration 1:   log pseudolikelihood = -118.99113  
Iteration 2:   log pseudolikelihood = -99.419209  
Iteration 3:   log pseudolikelihood =  -98.63365  
Iteration 4:   log pseudolikelihood = -98.630906  
Iteration 5:   log pseudolikelihood = -98.630906  

Logistic regression                               Number of obs   =        609
                                                  Wald chi2(17)   =     317.08
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -98.630906                 Pseudo R2       =     0.2479

                                         (Std. Err. adjusted for 71 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .6600057   .2053672     3.21   0.001     .2574935    1.062518
         lagailevels |  -.0271849   .2612157    -0.10   0.917    -.5391582    .4847885
       lagjcrHighAut |  -.5746834   .4886129    -1.18   0.240    -1.532347    .3829803
       lagjcrWeakDem |   .3682827   .4626509     0.80   0.426    -.5384963    1.275062
       lagjcrHighDem |   .4038849    1.23633     0.33   0.744    -2.019277    2.827047
lagjcrdemaidgdptrans |   .0961385   .1858792     0.52   0.605     -.268178    .4604551
 lagjcrdistancetrans |   .4645869   .4224649     1.10   0.271     -.363429    1.292603
lagjcrautaidgdptrans |  -.1010541   .0717863    -1.41   0.159    -.2417526    .0396444
   lagjcrany_strikes |  -.8359903   .5507922    -1.52   0.129    -1.915523    .2435425
     lagjcrany_riots |   1.304473   .5457617     2.39   0.017     .2347995    2.374146
     lagjcrany_demos |   .6909868     .46723     1.48   0.139    -.2247672    1.606741
 lagjcrany_guerrilla |   .8799204   .5187822     1.70   0.090     -.136874    1.896715
 lagjcrcivilviolence |   1.043784   .5958821     1.75   0.080    -.1241236    2.211691
      lagjcrcivilwar |  -.9271205   .5860151    -1.58   0.114    -2.075689     .221448
       lagjcrln_rgdp |  -.1258999   .3993051    -0.32   0.753    -.9085235    .6567236
        lagjcrln_pop |  -.0059877   .2204903    -0.03   0.978    -.4381408    .4261654
       lagjcrethfrac |   .3902661   .7125534     0.55   0.584    -1.006313    1.786845
               _cons |   -7.47331   3.810694    -1.96   0.050    -14.94213   -.0044866
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    609   -131.1383   -98.63091     18     233.2618    312.6745
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. logit binaryType2Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac if HRCMEMBE == 1, cluster (ccode)

Iteration 0:   log pseudolikelihood = -84.580688  
Iteration 1:   log pseudolikelihood = -80.799435  
Iteration 2:   log pseudolikelihood = -65.314091  
Iteration 3:   log pseudolikelihood =  -64.58907  
Iteration 4:   log pseudolikelihood = -64.569233  
Iteration 5:   log pseudolikelihood = -64.569211  
Iteration 6:   log pseudolikelihood = -64.569211  

Logistic regression                               Number of obs   =        609
                                                  Wald chi2(17)   =     204.60
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -64.569211                 Pseudo R2       =     0.2366

                                         (Std. Err. adjusted for 71 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType2Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .6323838   .3511899     1.80   0.072    -.0559358    1.320703
         lagailevels |    .925792   .5703303     1.62   0.105    -.1920347    2.043619
       lagjcrHighAut |   .9667427   .8621717     1.12   0.262    -.7230828    2.656568
       lagjcrWeakDem |   .6589934   .5770962     1.14   0.253    -.4720943    1.790081
       lagjcrHighDem |   3.206189   1.521352     2.11   0.035     .2243944    6.187983
lagjcrdemaidgdptrans |   .2643171   .2157407     1.23   0.221    -.1585269    .6871611
 lagjcrdistancetrans |   .7053343   .5882298     1.20   0.230    -.4475749    1.858243
lagjcrautaidgdptrans |  -.0309338   .0787349    -0.39   0.694    -.1852514    .1233838
   lagjcrany_strikes |  -.2479763   .5262399    -0.47   0.637    -1.279388     .783435
     lagjcrany_riots |   1.018145   .8437252     1.21   0.228    -.6355258    2.671816
     lagjcrany_demos |  -.4027016   .6315959    -0.64   0.524    -1.640607    .8352036
 lagjcrany_guerrilla |  -.0819856   .5287752    -0.16   0.877    -1.118366    .9543949
 lagjcrcivilviolence |    1.60294   .9889183     1.62   0.105    -.3353038    3.541185
      lagjcrcivilwar |  -.5308806   .5554716    -0.96   0.339    -1.619585    .5578237
       lagjcrln_rgdp |  -.1006322   .2599176    -0.39   0.699    -.6100613     .408797
        lagjcrln_pop |  -.0555935   .2571105    -0.22   0.829    -.5595208    .4483338
       lagjcrethfrac |   1.797596   1.266058     1.42   0.156    -.6838312    4.279023
               _cons |  -12.89342   5.973118    -2.16   0.031    -24.60052   -1.186323
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |    609   -84.58069   -64.56921     18     165.1384    244.5512
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. 
. 
. ***Section A7: Controls for Naming and Shaming Biases***
. 
. logit binaryType1Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac lla lwestern, cluster (ccode)

Iteration 0:   log pseudolikelihood = -434.62683  
Iteration 1:   log pseudolikelihood = -425.43091  
Iteration 2:   log pseudolikelihood = -344.82201  
Iteration 3:   log pseudolikelihood = -341.42342  
Iteration 4:   log pseudolikelihood = -341.30912  
Iteration 5:   log pseudolikelihood = -341.30872  
Iteration 6:   log pseudolikelihood = -341.30872  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(19)   =     312.32
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -341.30872                 Pseudo R2       =     0.2147

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType1Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .5267146   .1577297     3.34   0.001     .2175702    .8358591
         lagailevels |   .5450413   .2059044     2.65   0.008     .1414761    .9486064
       lagjcrHighAut |   .2168138   .3192956     0.68   0.497    -.4089942    .8426217
       lagjcrWeakDem |   .7273563   .3118173     2.33   0.020     .1162056    1.338507
       lagjcrHighDem |   .1100388   .5957466     0.18   0.853    -1.057603    1.277681
lagjcrdemaidgdptrans |   .1372686   .0623464     2.20   0.028     .0150719    .2594653
 lagjcrdistancetrans |   .1151037   .1604686     0.72   0.473    -.1994091    .4296164
lagjcrautaidgdptrans |  -.0882483   .0515117    -1.71   0.087    -.1892094    .0127129
   lagjcrany_strikes |   -.488943   .2806824    -1.74   0.082     -1.03907    .0611843
     lagjcrany_riots |   .5432372    .292571     1.86   0.063    -.0301914    1.116666
     lagjcrany_demos |   .5251834   .3115155     1.69   0.092    -.0853757    1.135742
 lagjcrany_guerrilla |   .4335785    .290939     1.49   0.136    -.1366515    1.003809
 lagjcrcivilviolence |   .7748806   .3076997     2.52   0.012     .1718003    1.377961
      lagjcrcivilwar |   .0741094   .4591677     0.16   0.872    -.8258428    .9740615
       lagjcrln_rgdp |  -.4222439   .1979138    -2.13   0.033    -.8101477   -.0343401
        lagjcrln_pop |   .0881345   .1124272     0.78   0.433    -.1322189    .3084879
       lagjcrethfrac |   .5135562   .4678552     1.10   0.272    -.4034232    1.430535
                 lla |   .2262547   .3479771     0.65   0.516    -.4557678    .9082772
            lwestern |  -.8936941   .5722035    -1.56   0.118    -2.015192    .2278041
               _cons |   -4.52213   2.083104    -2.17   0.030    -8.604939   -.4393218
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2711   -434.6268   -341.3087     20     722.6174    840.7189
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. logit binaryType2Create lagunchrlevels lagailevels lagjcrHighAut lagjcrWeakDem lagjcrHighDem lagj
> crdemaidgdptrans lagjcrdistancetrans lagjcrautaidgdptrans lagjcrany_strikes lagjcrany_riots lagjc
> rany_demos lagjcrany_guerrilla lagjcrcivilviolence lagjcrcivilwar lagjcrln_rgdp lagjcrln_pop lagj
> crethfrac lla lwestern, cluster (ccode)

Iteration 0:   log pseudolikelihood = -253.15286  
Iteration 1:   log pseudolikelihood = -221.27126  
Iteration 2:   log pseudolikelihood = -213.08474  
Iteration 3:   log pseudolikelihood = -212.65499  
Iteration 4:   log pseudolikelihood = -212.65077  
Iteration 5:   log pseudolikelihood = -212.65077  

Logistic regression                               Number of obs   =       2711
                                                  Wald chi2(19)   =     149.97
                                                  Prob > chi2     =     0.0000
Log pseudolikelihood = -212.65077                 Pseudo R2       =     0.1600

                                        (Std. Err. adjusted for 144 clusters in ccode)
--------------------------------------------------------------------------------------
                     |               Robust
   binaryType2Create |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
      lagunchrlevels |   .4261296   .2206074     1.93   0.053    -.0062528    .8585121
         lagailevels |   .2424042   .2635496     0.92   0.358    -.2741435    .7589519
       lagjcrHighAut |   .2409923   .3773263     0.64   0.523    -.4985536    .9805381
       lagjcrWeakDem |   .1747986   .3451672     0.51   0.613    -.5017167    .8513138
       lagjcrHighDem |   .3074357   .8476223     0.36   0.717    -1.353873    1.968745
lagjcrdemaidgdptrans |  -.0114303   .0682074    -0.17   0.867    -.1451144    .1222538
 lagjcrdistancetrans |   .1472484   .2429349     0.61   0.544    -.3288953    .6233921
lagjcrautaidgdptrans |   .0349186   .0366229     0.95   0.340     -.036861    .1066982
   lagjcrany_strikes |  -.3673659   .4434025    -0.83   0.407    -1.236419    .5016869
     lagjcrany_riots |   .7991586   .3472751     2.30   0.021     .1185119    1.479805
     lagjcrany_demos |  -.1795668   .3334238    -0.54   0.590    -.8330655    .4739318
 lagjcrany_guerrilla |   .3387858    .357314     0.95   0.343    -.3615368    1.039108
 lagjcrcivilviolence |   .7400404   .4203138     1.76   0.078    -.0837595     1.56384
      lagjcrcivilwar |   .1364632   .4482129     0.30   0.761    -.7420179    1.014944
       lagjcrln_rgdp |   .0455189   .2463599     0.18   0.853    -.4373376    .5283754
        lagjcrln_pop |   .3238463   .1281169     2.53   0.011     .0727418    .5749508
       lagjcrethfrac |   1.596775   .6451361     2.48   0.013     .3323315    2.861219
                 lla |   1.274966   .6374511     2.00   0.045     .0255844    2.524347
            lwestern |  -1.388072   .6151121    -2.26   0.024    -2.593669   -.1824741
               _cons |  -10.17352   2.824349    -3.60   0.000    -15.70914   -4.637899
--------------------------------------------------------------------------------------

. estat ic

-----------------------------------------------------------------------------
       Model |    Obs    ll(null)   ll(model)     df          AIC         BIC
-------------+---------------------------------------------------------------
           . |   2711   -253.1529   -212.6508     20     465.3015     583.403
-----------------------------------------------------------------------------
               Note:  N=Obs used in calculating BIC; see [R] BIC note

. 
. 
. 
. ***End of file***
. 
end of do-file

. log close
      name:  <unnamed>
       log:  /Users/loradiblasi/Dropbox/ISQ R&R/Submit/FirstLook/Replication/ReplicationLog.log
  log type:  text
 closed on:   7 Jul 2020, 20:52:13
---------------------------------------------------------------------------------------------------
